Leading a group of Researchers, 3D / Fronted / Backend developers and UX/UI designers, developing a distrupting project in the field of 3D content creation and manipulations for 3D printing, owning the project from innovation to execution.

Lead a team who developed the first co-design eco-system for this global collaborative art project by Eyal Gever, the renowned artist, that will result in the first piece of art to be created in space, when it’s printed on a zero-gravity 3D-printer aboard the International Space Station. A mathematically-accurate encapsulation of human laughter, simply floating through space.

Built an innovative parametric shoe design cloud based solution, leveraging powerful algorithms for components population, fast image to mesh creations, optimized Phisically Based Shaders, 3D printing preperation tools and integration to Autodesk Forge Developers Platform

One of the exciting parts working at Autodesk, is the oppurtunity to collaborate with many leading industry brands, visiting their office, and developing the software together with the users who will consume it. In this project, who went public, we built a 3D WebGL technology running on iPads for customizing 3D car parts by Mini Cooper owners

Mentored several interns in the field of Computer Science and Parametric Design. One great project is KeepKey, it's a parametric 3D printed holder for plants. It can be customized before 3D printing using a 3D web application and the user gets water alerts to the owner's smartphone.

Developed the core 3D engine of Homestyler Mobile, a 10m+ downloads-multi-featured app for home decoration from a single picture. Managed a team in the field of Image Processing & Computer Vision. Working on scalable mobile-ready solutions including various patent-pending algorithms for 3D scene analysis, image segmentation, structural image editing and more. Researching in the field of 3D capturing and reconstruction.

Developed algorithms in the social e-commerce domain for sears.com and shopyourway.com, including large-scale product recommendation engines (“people who viewed this also viewed that”), User Profiling, Social-Network Analysis (“users you might want follow”), Web Crawlers, Data Mining and different Newsfeed Personalization techniques. Implements distributed algorithms using Map-Reduce for creating high-scalable recommender services.

Using a data-driven approach we study both style and abstraction in sketching of a human face portrait. We analyzed the sketch data at two levels: strokes and geometric shape. In each, we create a model that captures both the style of the different artists and the process of abstraction. These models are then used for a portrait sketch synthesis application.

Research how to combine the C-PRM algorithm with path-hybridization approach, for creating high quality non-holonomic motion paths, optimizing path length, smoothness, clearance and number of reverse car motions. Our implementation includes a variety of code optimizations that result in nearly real-time performance for the planning of car-like motion.

The Cairo Genizah is a collection containing approximately 250,000 fragments. The fragments are today spread out in libraries and private collections worldwide. In this work, we study the problem of automatically finding candidate joins. We evaluate several alternative image representations and learning techniques.